Side-by-side comparison of AI visibility scores, market position, and capabilities
AI protein design company released OpenCRISPR-1, the first gene editor designed entirely by AI; raised $35M developing novel enzymes, antibodies, and gene-editing tools by exploring protein sequence space beyond what evolution has produced.
Profluent Bio is an AI protein design company founded in 2022 by former Meta AI researcher Ali Madani, raising $35M in seed and Series A funding. The company trains large generative models on biological sequence data to design novel proteins with specific structural and functional properties, analogous to how large language models generate text. Profluent made scientific history in 2024 by publishing OpenCRISPR-1, the first gene editor designed entirely by AI rather than adapted from natural organisms, which the company released open source for non-commercial research. The platform enables design of novel enzymes, antibodies, and gene-editing tools by exploring protein sequence space far beyond what evolution has produced. Profluent works with pharmaceutical and agricultural biotechnology companies that need custom protein tools for research and therapeutic development. The company represents a fundamental advance in moving protein engineering from directed evolution and rational design toward generative AI-driven discovery.
Publicly traded AI precision medicine company (Nasdaq: TEM); $1.27B revenue in 2025 (+83% YoY); $14B+ market cap; genomic profiling, algorithmic diagnostics, and clinical trial matching across oncology, neurology, and cardiology.
Tempus AI is a technology company applying artificial intelligence to advance precision medicine across oncology, neurology, psychiatry, and cardiology. Founded in 2015 by Eric Lefkofsky (co-founder of Groupon) and headquartered in Chicago, Illinois, Tempus built the world's largest library of clinical and molecular data and applies AI to help physicians make more personalized, data-driven treatment decisions. The company's core offerings include genomic profiling (sequencing tumor DNA to identify mutations and actionable targets), algorithmic diagnostic tests (AI-driven companion diagnostics for cancer treatment selection), clinical trial matching (connecting eligible patients to appropriate studies), and data licensing to pharmaceutical and biotech partners for drug discovery and clinical development.
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